Automated Test Case Generation from Execution Logs
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Solution Overview
Problem
The conventional methods for software testing are laborious and inefficient, requiring manual creation and maintenance of test cases, leading to duplication of efforts, incomplete documentation, and increased development time, especially for exploratory or ad hoc testing scenarios, which can result in discrepancies and uncertainty in test metrics.
Innovation Solution
A system and method for dynamically creating and documenting automated test cases, where pre-defined automated test blocks are used to generate and run test cases programmatically, allowing for the creation of dynamic automated test cases that can be easily maintained and executed, with a corresponding manual test case documentation for clarity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual test cases are created and automated conventionally, then test coverage can be improved, but the labor and time required increases significantly
Solution Approach 1:
The system enables automated test case generation by having the testing tool automatically create test cases from test execution logs and results, eliminating the need for manual script creation. The system self-documented test cases are automatically created and stored in the test repository based on the execution data
Solution Approach 2:
The system performs preliminary documentation by automatically creating test case templates and structures before full automation is implemented. Test case metadata and frameworks are prepared in advance, reducing the effort needed during actual test execution and automation
2Adaptability or versatility
If exploratory or ad hoc testing is performed without documentation, then testing flexibility is maintained, but test metrics become unreliable and uncertain
Solution Approach 1:
The system implements feedback mechanisms by automatically capturing test execution results, logs, and metrics from exploratory testing sessions. This feedback is used to automatically update and document test cases in the repository, ensuring that even ad hoc testing contributes to documented test metrics and quality measurements
Solution Approach 2:
The system introduces an intermediary layer between exploratory testing activities and the test repository. This intermediary automatically documents test cases and metrics without interfering with the flexibility of exploratory testing, allowing testers to explore freely while the system captures and documents the activities for metric accuracy
3Adaptability or versatility
If test cases are manually propagated to automated scripts, then updates can be made, but synchronization between manual and automated versions becomes difficult
Solution Approach 1:
The system inverts the traditional approach by automatically generating test case documentation from automated execution data rather than manually creating scripts from documentation. This reversal eliminates the synchronization problem by making the automated version the source of truth, with manual documentation automatically derived from it
4Extent of automation
If automated test scripts are created for every test case, then test automation coverage improves, but maintenance effort and complexity increase
Solution Approach 1:
The system segments test automation into modular, reusable components and templates. Instead of creating monolithic automated scripts for entire test cases, the system breaks down test logic into smaller, independently maintainable units that can be selectively applied, reducing overall maintenance complexity while maintaining high automation coverage
Data Source
AI summary
A set of automated unit test components is stored. The automated unit test components include executable code for testing a backup system. The set of automated unit test components are displayed on an electronic screen. A selection of a subset of the unit test components from a user is received. An automated test case is created based on the selected subset of automated unit test components. The automated test case is stored. After the automated test case is created, the automated test case is parsed to derive a manual test case corresponding to the automated test case. The manual test case is stored.


